Content-based rotation-invariant image annotation

In this paper a semi-automatic approach towards efficient and flexible image database population is described. An interactive process aided by computer vision and image processing techniques is employed. Computer aided object selection, using region growing based on colour and texture, allows new labels to be added quickly and efficiently. Extracted features are used to propagate the label through the database. As the images are very unlikely to be acquired at the same viewpoint, the features should ideally be viewpoint invariant-an area which has been mostly overlooked despite its importance. This paper focuses on rotation invariance